DeepLearning_MiniProjects

by adeveloperdiary Python Version: Current License: No License

X-Ray Key Features Code Snippets Community Discussions Vulnerabilities Install Support

kandi X-RAY | DeepLearning_MiniProjects Summary

DeepLearning_MiniProjects is a Python library. DeepLearning_MiniProjects has no bugs, it has no vulnerabilities and it has low support. However DeepLearning_MiniProjects build file is not available. You can download it from GitHub.

DeepLearning_MiniProjects

Support

Quality

Security

License

Reuse

Support

DeepLearning_MiniProjects has a low active ecosystem.

It has 4 star(s) with 1 fork(s). There are 1 watchers for this library.

It had no major release in the last 6 months.

DeepLearning_MiniProjects has no issues reported. There are no pull requests.

It has a neutral sentiment in the developer community.

The latest version of DeepLearning_MiniProjects is current.

Quality

DeepLearning_MiniProjects has no bugs reported.

Security

DeepLearning_MiniProjects has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.

License

DeepLearning_MiniProjects does not have a standard license declared.

Check the repository for any license declaration and review the terms closely.

Without a license, all rights are reserved, and you cannot use the library in your applications.

Reuse

DeepLearning_MiniProjects releases are not available. You will need to build from source code and install.

DeepLearning_MiniProjects has no build file. You will be need to create the build yourself to build the component from source.

Top functions reviewed by kandi - BETA

kandi has reviewed DeepLearning_MiniProjects and discovered the below as its top functions. This is intended to give you an instant insight into DeepLearning_MiniProjects implemented functionality, and help decide if they suit your requirements.

Train the model
Forward computation
Create the model
Get a batch of data
Get dataset from csv file
Preprocess the texts
Performs a prediction
Pads the features to a given length
Predict the model
Displays the attention
Get a loader for the given transformation
Generate training indices
Loads the model and test data
Calculate the BLEU score
Loads the vocabulary
Calculate the prediction
Preprocess the data
Create train and validation dataset
Extracts the train and validation dataset
Creates training data sets
Processes reviews_encoded and labels
Pads a list of reviews to a given length
Generate random characters from the given model
Find all files under path
Create a TRAing test validation set
Preprocess the reviews txt and labels
Test the model

Get all kandi verified functions for this library.

DeepLearning_MiniProjects Key Features

No Key Features are available at this moment for DeepLearning_MiniProjects.

DeepLearning_MiniProjects Examples and Code Snippets

No Code Snippets are available at this moment for DeepLearning_MiniProjects.

Community Discussions

No Community Discussions are available at this moment for DeepLearning_MiniProjects.Refer to stack overflow page for discussions.

Community Discussions, Code Snippets contain sources that include Stack Exchange Network

Vulnerabilities

No vulnerabilities reported

Install DeepLearning_MiniProjects

You can download it from GitHub.
You can use DeepLearning_MiniProjects like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.

Support

For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .

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